Communication-Efficient Distributed Mining of Association Rules
Summary: New communication-efficient distributed algorithms for mining association rules in share-nothing, partitioned data. Robust to skew and imbalanced partitions, with theoretical and empirical results guiding implementation in diverse peer-to-peer-like environments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Assaf Schuster
- 2. Ran Wolff
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,040 | Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation | 2011 | VLDB | 4.600049e-05 |
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